package Paws::SageMaker::DescribeProcessingJobResponse; use Moose; has AppSpecification => (is => 'ro', isa => 'Paws::SageMaker::AppSpecification', required => 1); has AutoMLJobArn => (is => 'ro', isa => 'Str'); has CreationTime => (is => 'ro', isa => 'Str', required => 1); has Environment => (is => 'ro', isa => 'Paws::SageMaker::ProcessingEnvironmentMap'); has ExitMessage => (is => 'ro', isa => 'Str'); has ExperimentConfig => (is => 'ro', isa => 'Paws::SageMaker::ExperimentConfig'); has FailureReason => (is => 'ro', isa => 'Str'); has LastModifiedTime => (is => 'ro', isa => 'Str'); has MonitoringScheduleArn => (is => 'ro', isa => 'Str'); has NetworkConfig => (is => 'ro', isa => 'Paws::SageMaker::NetworkConfig'); has ProcessingEndTime => (is => 'ro', isa => 'Str'); has ProcessingInputs => (is => 'ro', isa => 'ArrayRef[Paws::SageMaker::ProcessingInput]'); has ProcessingJobArn => (is => 'ro', isa => 'Str', required => 1); has ProcessingJobName => (is => 'ro', isa => 'Str', required => 1); has ProcessingJobStatus => (is => 'ro', isa => 'Str', required => 1); has ProcessingOutputConfig => (is => 'ro', isa => 'Paws::SageMaker::ProcessingOutputConfig'); has ProcessingResources => (is => 'ro', isa => 'Paws::SageMaker::ProcessingResources', required => 1); has ProcessingStartTime => (is => 'ro', isa => 'Str'); has RoleArn => (is => 'ro', isa => 'Str'); has StoppingCondition => (is => 'ro', isa => 'Paws::SageMaker::ProcessingStoppingCondition'); has TrainingJobArn => (is => 'ro', isa => 'Str'); has _request_id => (is => 'ro', isa => 'Str'); ### main pod documentation begin ### =head1 NAME Paws::SageMaker::DescribeProcessingJobResponse =head1 ATTRIBUTES =head2 B AppSpecification => L Configures the processing job to run a specified container image. =head2 AutoMLJobArn => Str The ARN of an AutoML job associated with this processing job. =head2 B CreationTime => Str The time at which the processing job was created. =head2 Environment => L The environment variables set in the Docker container. =head2 ExitMessage => Str An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits. =head2 ExperimentConfig => L The configuration information used to create an experiment. =head2 FailureReason => Str A string, up to one KB in size, that contains the reason a processing job failed, if it failed. =head2 LastModifiedTime => Str The time at which the processing job was last modified. =head2 MonitoringScheduleArn => Str The ARN of a monitoring schedule for an endpoint associated with this processing job. =head2 NetworkConfig => L Networking options for a processing job. =head2 ProcessingEndTime => Str The time at which the processing job completed. =head2 ProcessingInputs => ArrayRef[L] The inputs for a processing job. =head2 B ProcessingJobArn => Str The Amazon Resource Name (ARN) of the processing job. =head2 B ProcessingJobName => Str The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account. =head2 B ProcessingJobStatus => Str Provides the status of a processing job. Valid values are: C<"InProgress">, C<"Completed">, C<"Failed">, C<"Stopping">, C<"Stopped"> =head2 ProcessingOutputConfig => L Output configuration for the processing job. =head2 B ProcessingResources => L Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance. =head2 ProcessingStartTime => Str The time at which the processing job started. =head2 RoleArn => Str The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf. =head2 StoppingCondition => L The time limit for how long the processing job is allowed to run. =head2 TrainingJobArn => Str The ARN of a training job associated with this processing job. =head2 _request_id => Str =cut 1;